Indexing with unknown illumination and pose

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 909-917

  Kemelmacher, Ira ^a   Basri, Ronen ^a  

^a WEIZMANN INSTITUTE OF SCIENCE   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; INDEXING (OF INFORMATION); OBJECT RECOGNITION; THREE DIMENSIONAL COMPUTER GRAPHICS;

3D FEATURES; INDEXING METHODS; POLYHEDRAL OBJECTS; SHAPE INDEXING;

IMAGE ANALYSIS;

EID: 33745142598     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.186     Document Type: Conference Paper

References (22)

1. R. Basil and D.W. Jacobs. Lambertian reflectance and linear subspaces. PAMI, 25(2):218-233, 2003.
2. J.S. Beis and D.G. Lowe. Indexing without invariants in 3d object recognition. PAMI, 21(10):1000-1015, 1999.
3. V. Blanz and T. Vetter. Face recognition based on fitting a 3d morphable model. PAMI, 25(9): 1063-1074, 2003.
4. J. Burns, R. Weiss, and E. Riseman. View variation of point-set and line-segment features. PAMI, 15(1):51-68, 1993.
5. D. Clemens and D. Jacobs. Space and time bounds on indexing 3d models from 2d images. PAMI, 13(10):1007-1018, 1991.
6. M.A. Fischler and R.C. Bolles. Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography. Communications of the ACM. 24(6):381-395, 1981.
7. D. Forsyth, J.L. Mundy, A. Zisserman, C. Coelho, A. Heller, and C. Rothwell. Invariant descriptors for 3d object recognition and pose. PAMI, 13(10):971-991, 1991.
8. A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: generative models for recognition under variable pose and illumination. PAMI, 23(6):643-660, 2001.
9. R. Gross, I. Matthews, and S. Baker. Eigen light-fields and face recognition across pose. Int. Conf. on Automatic Face and Gesture Recognition, pages 1-7, 2002.
10. C. Harris and M. Stephens. A combined corner and edge detector. 4th Alvey Vision Conf., pages 147-151, 1988.
11. D.P. Huttenlocher and S. Ullman. Object recognition using alignment. ICCV, pages 102-111, 1987.
12. D.W. Jacobs. Matching 3d models to 2d images. IJCV, 21 (1/2): 123-153, 1997.
13. Y. Lamdan and H.J. Wolfson. Geometric hashing: A general and efficient model-based recognition scheme. ICCV, pages 238-249, 1988.
14. Y. Moses and S. Ullman. Limitations of non model-based recognition schemes. ECCV, pages 820-828, 1992.
15. J.L. Mundy and A. Zisserman, editors. Geometric Invariance in Computer Vision. MIT Press, 1992.
16. H. Murase and S. Nayar. Visual learning and recognition of 3d objects from appearance. IJCV, 14(1):5-25, 1995.
17. C.F. Olson. Probabilistic indexing for object recognition. PAMI, 17(5):518-522, 1995.
18. R. Ramamoorthi and P. Hanrahan. On the relationship between radiance and irradiance: Determining the illumination from images of a convex lambertian object. JOSA, 18(10):2448-2459, 2001.
19. I. Shimshoni and J. Ponce. 3d probabilistic object recognition. IJCV, 36(1):51-70, 2000.
20. B. Vijayakumar, D.J. Kriegman, and J. Ponce. Invariant-based recognition of complex curved 3d objects from image contours. CVIU, 72:287-303, 1998.
21. P. Viola and W. A. Wells. Alignment by maximization of mutual information. IJCV, 24:137 - 154, 1997.
22. D. Weinshall. Model based invariants for 3d vision. IJCV, 10(1):27-42, 1993.